At a Glance
- Tasks: Build and scale a platform for predictive models in AI drug discovery.
- Company: Next-gen pharmatech firm based in London with a focus on innovation.
- Benefits: Competitive compensation and flexible remote work options.
- Other info: Exciting opportunity to work at the intersection of AI, physics, and chemistry.
- Why this job: Join a cutting-edge team to revolutionise drug discovery using AI.
- Qualifications: 6+ years in software engineering with expertise in machine learning systems.
The predicted salary is between 60000 - 80000 € per year.
A next-generation pharmatech firm in London seeks a Senior ML Software Engineer to build and scale their platform-facing product managing predictive models. The ideal candidate will have over 6 years of experience in software engineering with a strong focus on machine learning systems. You will work at the intersection of AI, physics, and chemistry to accelerate drug discovery. Competitive compensation and remote work options are provided.
Senior ML Platform Engineer for AI Drug Discovery - Remote employer: Aqemia
Join a pioneering pharmatech firm that champions innovation and collaboration in the heart of London. With a strong commitment to employee growth, we offer competitive compensation, flexible remote work options, and a vibrant work culture that encourages creativity at the intersection of AI, physics, and chemistry. Here, you will have the opportunity to make a meaningful impact on drug discovery while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Platform Engineer for AI Drug Discovery - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the pharmatech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to drug discovery. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and coding skills. Practice common interview questions and consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Platform Engineer for AI Drug Discovery - Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and machine learning systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the intersection of AI, physics, and chemistry in drug discovery. Let us know what makes you a great fit for our team.
Showcase Your Technical Skills:In your application, be specific about the technologies and tools you’ve worked with. We’re looking for someone who can build and scale platforms, so highlight any relevant experience with predictive models or similar projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Aqemia
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your experience with predictive models and how you've applied them in real-world scenarios, especially in the context of drug discovery.
✨Showcase Your Software Skills
Prepare to talk about your software engineering background. Highlight specific projects where you've built or scaled platforms, and be ready to dive into the technical details. They’ll want to see your coding prowess and problem-solving skills.
✨Connect AI with Chemistry and Physics
Since this role sits at the intersection of AI, physics, and chemistry, think about how these fields interact in your previous work. Be prepared to discuss any interdisciplinary projects you've worked on and how they relate to drug discovery.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI in drug discovery, their tech stack, and team dynamics. This shows your genuine interest and helps you assess if it’s the right fit for you.
